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Exploiting Text Matching Techniques for Knowledge-Grounded Conversation
2020
IEEE Access
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To generate an informative and context-coherent response, it is important to conjugate dialogue context and external knowledge in a balanced manner. ...
Knowledge-grounded conversation models aim at generating informative responses for the given dialogue context, based on external knowledge. ...
However, they do not focus on how to model the context in a multi-turn dialogue setting, where they merely model a multi-turn dialogue as a single document. ...
doi:10.1109/access.2020.3007893
fatcat:jyu3rvorwjhbrfsjafnwct5eiu
What we need to learn if we want to do and not just talk
2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 3 (Industry Papers)
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In task-oriented dialog, agents need to generate both fluent natural language responses and correct external actions like database queries and updates. ...
We propose a hybrid model, where nearest neighbor is used to generate fluent responses and Sequence-to-Sequence (Seq2Seq) type models ensure dialogue coherency and generate accurate external actions. ...
Conclusion and Future Work We demonstrated limitations of previous end-end dialog approaches and proposed variants to make them suitable for real world settings. ...
doi:10.18653/v1/n18-3004
dblp:conf/naacl/GangadharaiahNE18
fatcat:wm2btzvc75eu3gwhwfqvuwsn2i
Chat More If You Like: Dynamic Cue Words Planning to Flow Longer Conversations
[article]
2018
arXiv
pre-print
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To this end, we present the multi-turn cue-words driven conversation system with reinforcement learning method (RLCw), which strives to select an adaptive cue word with the greatest future credit, and ...
To build an open-domain multi-turn conversation system is one of the most interesting and challenging tasks in Artificial Intelligence. ...
Specifically, we present the multi-turn cue-words driven conversation system with reinforcement learning (RLCw), which jointly models the cue word prediction and response generation in an end-to-end framework ...
arXiv:1811.07631v1
fatcat:hvzijxoaazh67hqv63smzoxvl4
Do You Ever Get Off Track in a Conversation? The Conversational System's Anatomy and Evaluation Metrics
2022
Knowledge
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This approach can help us to better understand the overall process of dialog system development, and future possibilities to enhance user experience. ...
Conversational systems are now applicable to almost every business domain. Evaluation is an important step in the creation of dialog systems so that they may be readily tested and prototyped. ...
The dialog manager also takes into account dialog history while selecting responses that feel more natural and user-friendly. ...
doi:10.3390/knowledge2010004
fatcat:brdrsquzf5eq3jg4cmzin6rkhm
Interactive Searching and Browsing of Video Archives: Using Text and Using Image Matching
[chapter]
2006
Signals and Communication Technology
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The shot retrieval engine employed for Físchlár-TRECVid is based on a combination of query text matched against spoken dialogue combined with image-image matching where a still image (sourced externally ...
The user of the system was allowed to choose which of the XM techniques were to be used for any given query. ...
doi:10.1007/978-3-540-33215-2_9
fatcat:prigexdutzatdnoi44w2wxqa74
Dynamically Retrieving Knowledge via Query Generation for informative dialogue response
[article]
2022
arXiv
pre-print
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In order to solve the problem, we design a knowledge-driven dialogue system named DRKQG (Dynamically Retrieving Knowledge via Query Generation for informative dialogue response). ...
First, a time-aware mechanism is utilized to capture context information and a query can be generated for retrieving knowledge. ...
Model Q F1 Q BLEU-1 Q BLEU- There will be 30 dialogue sessions used to test our system, and each dialogue session will not be less than 7 turns of dialogue. ...
arXiv:2208.00128v1
fatcat:2qf635nkhzh4jh5zw7hhwaq46y
Improving service matching and selection in ubiquitous computing environments: a user study
2006
Personal and Ubiquitous Computing
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This user study compares the newly developed service matcher system with a conventional system for identifying and selecting appropriate services. ...
In large ubiquitous computing environments it is hard for users to identify and activate the electronic services that match their needs. ...
Then, the Wizard of Oz prepares the agent and sends the interface to the user. The dialogue is logged for analyses The select interface. Users select an agent using a hierarchy containing all agents. ...
doi:10.1007/s00779-006-0066-7
fatcat:udw4yfxdcve3rngavvkql3lksm
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases
[article]
2019
arXiv
pre-print
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We present CoSQL, a corpus for building cross-domain, general-purpose database (DB) querying dialogue systems. ...
CoSQL includes three tasks: SQL-grounded dialogue state tracking, response generation from query results, and user dialogue act prediction. ...
are given as part of the conversation history but we do not require a system to predict SQL queries for them. ...
arXiv:1909.05378v1
fatcat:6acielnwvvaptov5ipmnddrkwi
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases
2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
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We present CoSQL, a corpus for building cross-domain, general-purpose database (DB) querying dialogue systems. ...
CoSQL includes three tasks: SQL-grounded dialogue state tracking, response generation from query results, and user dialogue act prediction. ...
are given as part of the conversation history but we do not require a system to predict SQL queries for them. ...
doi:10.18653/v1/d19-1204
dblp:conf/emnlp/YuZELXPLTSLJYSC19
fatcat:k2hth3eegfaerkb2hycu4tehgi
How do you Converse with an Analytical Chatbot? Revisiting Gricean Maxims for Designing Analytical Conversational Behavior
[article]
2022
arXiv
pre-print
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system responses. ...
We also draw inspiration from natural language interfaces for data exploration to support ambiguity and intent handling. ...
For example, for the query, "which products are doing well?" ...
arXiv:2203.08420v1
fatcat:ozi7cyobufat5j3olwivq2kxei
Multi-turn Response Selection using Dialogue Dependency Relations
[article]
2020
arXiv
pre-print
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Multi-turn response selection is a task designed for developing dialogue agents. The performance on this task has a remarkable improvement with pre-trained language models. ...
However, these models simply concatenate the turns in dialogue history as the input and largely ignore the dependencies between the turns. ...
Acknowledgement This research was supported by the SJTU-CMBCC Joint Research Scheme, SJTU Medicine-Engineering Cross-disciplinary Research Scheme, and NSFC grant 91646205. ...
arXiv:2010.01502v1
fatcat:5vlkd5ezivb6blhcrmarz7ho6i
How do you Converse with an Analytical Chatbot? Revisiting Gricean Maxims for Designing Analytical Conversational Behavior
2022
CHI Conference on Human Factors in Computing Systems
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(a) A Slack chatbot showing an interactive message with a drop-down menu to help a user refine a previous response within the conversation thread. ...
Follow-up questions and feedback from the chatbot encourage conversational behavior. ...
For example, for the query, "which products are doing well?" ...
doi:10.1145/3491102.3501972
fatcat:jmylakmeqzcnljlvx6sfuz4che
CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset
[article]
2020
arXiv
pre-print
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It contains 6K dialogue sessions and 102K utterances for 5 domains, including hotel, restaurant, attraction, metro, and taxi. ...
We also provide a user simulator and several benchmark models for pipelined task-oriented dialogue systems, which will facilitate researchers to compare and evaluate their models on this corpus. ...
We would like to thank THUNUS NExT Joint-Lab for the support. We would also like to thank Ryuichi Takanobu and Fei Mi for their constructive comments. ...
arXiv:2002.11893v2
fatcat:u72d2lzzqfeijpcqvacvgfme2y
Challenges in Building Intelligent Open-domain Dialog Systems
[article]
2020
arXiv
pre-print
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The works we select to present here is based on our unique views and are by no means complete. ...
Unlike traditional task-oriented bots, an open-domain dialog system aims to establish long-term connections with users by satisfying the human need for communication, affection, and social belonging. ...
There is a short review on deep retrieval-based dialogue systems [10] where the authors discussed existing work with respect to single-turn matching models, multi-turn matching models, and ensemble models ...
arXiv:1905.05709v3
fatcat:vdibhr4sobgufgcab2cyfyg7wy
Advances in Multi-turn Dialogue Comprehension: A Survey
[article]
2021
arXiv
pre-print
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2021 pre-print arXiv:2110.04984v1 fatcat:ecifyqdnbbc5ve6texzgoqteu4
Among these studies, the fundamental yet challenging type of task is dialogue comprehension whose role is to teach the machines to read and comprehend the dialogue context before responding. ...
In this paper, we review the previous methods from the technical perspective of dialogue modeling for the dialogue comprehension task. ...
Second, response candidates on the test set are collected by using the last turn as the query to retrieve 10 response candidates and labeled by humans. ...
arXiv:2110.04984v2
fatcat:4i4svd2oyvdhhasqx2ungtppue
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